JaCaMo

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JaCaMo is an open-source platform for programming multi-agent systems, combining the Jason agent language, CArtAgO environment modeling, and Moise organizational models. It enables developers to define agent behaviors, create and manipulate artifacts as environmental resources, and specify norms and roles. The platform provides simulation, debugging, and visualization tools to streamline the development, testing, and deployment of complex, distributed intelligent systems.
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May 08 2025
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JaCaMo

JaCaMo

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76
JaCaMo
JaCaMo is an open-source platform for programming multi-agent systems, combining the Jason agent language, CArtAgO environment modeling, and Moise organizational models. It enables developers to define agent behaviors, create and manipulate artifacts as environmental resources, and specify norms and roles. The platform provides simulation, debugging, and visualization tools to streamline the development, testing, and deployment of complex, distributed intelligent systems.
Added on:
Social & Email:
Platform:
May 08 2025
--
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What is JaCaMo?

JaCaMo provides a unified environment for designing and running multi-agent systems (MAS) by integrating three core components: the Jason agent programming language for BDI-based agents, CArtAgO for artifact-based environmental modeling, and Moise for specifying organizational structures and roles. Developers can write agent plans, define artifacts with operations, and organize groups of agents under normative frameworks. The platform includes tooling for simulation, debugging, and visualization of MAS interactions. With support for distributed execution, artifact repositories, and flexible messaging, JaCaMo enables rapid prototyping and research in areas like swarm intelligence, collaborative robotics, and distributed decision-making. Its modular design ensures scalability and extensibility across academic and industrial projects.

Who will use JaCaMo?

  • Research scientists
  • MAS educators
  • Software developers
  • Graduate students
  • AI system architects

How to use the JaCaMo?

  • Step1: Install Java JDK on your system
  • Step2: Download the JaCaMo distribution from GitHub
  • Step3: Unzip the package and set environment variables
  • Step4: Create a new JaCaMo project via command-line or IDE plugin
  • Step5: Define agent roles and plans using Jason syntax
  • Step6: Model environmental artifacts with CArtAgO definitions
  • Step7: Specify organizational structures with Moise
  • Step8: Run the MAS simulation and monitor interactions
  • Step9: Debug and refine agent behaviors with the provided tools
  • Step10: Deploy the system on distributed or cloud environments

Platform

  • mac
  • windows
  • linux

JaCaMo's Core Features & Benefits

The Core Features

  • BDI-based agent programming with Jason
  • Artifact environment modeling with CArtAgO
  • Organizational specification using Moise
  • Command-line interface and IDE support
  • Simulation and debugging tools
  • Distributed execution and messaging

The Benefits

  • Unified MAS development workflow
  • Modular and extensible architecture
  • Supports research and educational use cases
  • Open-source and community-driven
  • Scalable for large agent populations

JaCaMo's Main Use Cases & Applications

  • Swarm robotics coordination simulations
  • Distributed AI research prototypes
  • Educational courses on agent-oriented programming
  • Industrial process modeling
  • Collaborative virtual environments

JaCaMo's Pros & Cons

The Pros

Supports comprehensive multi-agent system programming including agents, environment, and organization.
Designed for applications demanding autonomy, decentralization, coordination, and openness.
Open-source with an active GitHub repository.
Provides educational resources and courses for multi-agent system learning.
Includes a command line interface to create, run, and manage multi-agent applications.
Supports integration with frameworks like ROS for autonomous robot development.

The Cons

No direct pricing information available.
No mobile or browser extension applications found.
May have a steep learning curve due to its complex multi-agent oriented programming paradigm.

FAQs of JaCaMo

JaCaMo Company Information

Analytic of JaCaMo

Visit Over Time

Monthly Visits
76
Avg Visit Duration
00:00:30
Page Per Visit
1.29
Bounce Rate
88.43%
Nov 2025 - Jan 2026 All Traffic

Geography

Top 1 Regions
Israel
100%
Nov 2025 - Jan 2026 Worldwide Desktop Only

Traffic Sources

Search
42.67%
Direct
34.59%
Referrals
13.85%
Social
5.15%
Paid Referrals
1.88%
Mail
0.30%
Nov 2025 - Jan 2026 Desktop Only

JaCaMo Reviews

5/5
Do You Recommend JaCaMo? Leave a Comment Below!

JaCaMo's Main Competitors and alternatives?

  • JADE
  • SPADE
  • MadKit
  • Jason (standalone)
  • MASON

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